Materials science has been central to human advancement since time immemorial. There has always been curiosity around studying the processes required to extract materials, examine their structure, and ultimately tailor their properties to meet human needs. Over the last few centuries, the ability to tailor material properties was driven by...
To be tempted is to be conflicted, but the conflict is not one of oscillation between two good options. Rather, it is normally easy to act on temptation and difficult to act against it. But this is puzzling, because unless temptation is a force that acts on us, it’s not...
Object Detection is a core computer vision problem and can facilitate many image understanding problems. Object Detection has witnessed significant progress in the past decade especially after deep learning is successfully applied to this field. Most of the detection models focus on generalizing the trained model to unseen samples of...
Engineering heat transport in materials is essential for thermal management in a wide range of technologies, from batteries to thermoelectrics. Materials host a wide spectrum of heat-carrying phonons, which vary in their frequency, spatial extent, and degree of plane-wave character. This diversity in phonon properties leads to complex behavior, especially...
In this dissertation, we aim to develop efficient algorithms with theoretical guarantees for several data-driven decision making problems. Specifically, we study the data-driven deci- sion making from three different perspectives: statistical learning, nonconvex optimization, and control of stochastic system. This dissertation contains three parts. In the first part, we study...
Nanocarriers as structures with at least one dimension in the nanometer scale are capable of loading small molecule therapeutics that would otherwise have poor bioavailability, non- specific uptake, and off target effects. Polymeric nanocarriers can be modified to tune their chemical and biological behavior to better suit the intended application....
The dissertation builds on my current research to demonstrate the connection between affect and learning through machine learning and qualitative analysis of interactions where players use a complex systems game. The project is threefold: First, I developed a thinking and learning intervention, the agent-based modeling simulation Ant Adaptation. I showed...
This dissertation consists of three studies related to parental employment, maternity leave policy, and early care and education. In study 1, my coauthor and I evaluate the impact of parenthood on men and women’s job performance and career advancement using detailed data from the U.S. Marines. For parents who remain...
This dissertation explores the poetry and culture of the late-Soviet era of Stagnation (1964-1985) through a broadly conceived cultural metaphor of stagnation. The five Russian poets and one American poet in this study- Viktor Krivulin, Alexei Parshchikov, Aleksandr Eremenko, Ivan Zhdanov, Elena Shvarts, and Lyn Hejinian- each engage with a...
The prospect of being evaluated by others is oftentimes psychologically crippling. At the core of feeling evaluated is perceiving other minds capable of possessing (judgmental) thoughts and feelings. While research on mind perception in evaluative situations oftentimes examines positive aspects (e.g., increased prosocial behavior), this dissertation looks into how mind...